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STT 867 (Course) - Grade Details
(with breakdown by semester)
Course Title: Linear Model Methodology
Course Description: Properties of the multivariate normal distribution, Cochran's Theorem, simple and multiple linear regression models, Gauss-Markov Theorem, best linear unbiased prediction, one- and two-way ANOVA models, sums of squares, diagnostics and model selection, contingency tables and multinomial models, generalized linear models, logistic regression.
STT 867 - All Semesters
Average Grade - 3.710
Median Grade - 4.0
Latest grades from Fall 2023
STT 867 - Overview
| Semester | Grade Info | Number of Students | |
|---|---|---|---|
| Fall 2013 | Average Grade - 3.455 Median Grade - 3.5 |
11 | |
| Fall 2014 | Average Grade - 3.571 Median Grade - 3.5 |
14 | |
| Fall 2016 | Average Grade - 3.600 Median Grade - 4.0 |
15 | |
| Fall 2019 | Average Grade - 3.929 Median Grade - 4.0 |
14 | |
| Fall 2020 | Average Grade - 3.853 Median Grade - 4.0 |
17 | |
| Fall 2021 | Average Grade - 3.500 Median Grade - 3.5 |
12 | |
| Fall 2022 | Average Grade - 3.955 Median Grade - 4.0 |
11 | |
| Fall 2023 | Average Grade - 3.769 Median Grade - 4.0 |
13 | |